Velotio Technologies in Senior QA Automation Engineer

Velotio Technologies is Offering Senior Data Engineer Role 2024 | Apply Now

Role: Senior Data Engineer

Experience: 4 – 6 years

Salary: Not Disclosed

Location: Remote, The hiring office is located in Pune

Employment Type: Full Time, Permanent

Role Category: Software Development

Education: UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization, PG: Any Postgraduate

About Velotio Technologies

Velotio Technologies is a product engineering organization working with revolutionary startups and corporations. We have supplied full-stack product development for 110+ startups across the globe, constructing products within the cloud-local, data engineering, B2B SaaS, IoT & Machine Learning space.

Senior Data Engineer Description:

A Senior Data Engineer is chargeable for designing, building, and keeping the infrastructure and systems required to technique, keep, and examine massive volumes of records efficiently. They paint carefully with facts scientists, analysts, and other stakeholders to recognize their necessities and translate them into strong, scalable facts solutions. This involves architecting records pipelines, choosing suitable storage and processing technology, and ensuring the safety and integrity of the facts.

Senior Data Engineer Skills:

Proficiency in programming languages including Python, Java, and Scala
Experience with huge statistics technology like Hadoop, Spark, or Kafka
Strong knowledge of dispensed computing and parallel processing
Knowledge of database structures, each relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra)
Familiarity with cloud systems together with AWS, Azure, or Google Cloud
Expertise in facts modeling, ETL (Extract, Transform, Load) techniques, and data warehousing ideas
Excellent trouble-solving and analytical capabilities
Effective communication and collaboration capabilities

Senior Data Engineer Roles:

Architecting and implementing statistics pipelines to ingest, manner, and transform statistics from numerous resources
Designing and optimizing records garage answers, inclusive of information lakes, data warehouses, and NoSQL databases
Collaborating with records scientists and analysts to recognize their requirements and offer them the essential statistics infrastructure and equipment
Ensuring the safety and compliance of information structures, along with implementing get right of entry to controls and encryption mechanisms
Monitoring the overall performance and reliability of information pipelines and infrastructure, and troubleshooting any problems that get up
Staying up-to-date with the trendy developments in facts engineering technologies and fine practices, and sharing know-how with the wider crew

Education

Additional certifications or specialized education in facts engineering and cloud technology.
Several years of revel in facts engineering or associated roles.
Expertise in massive information technology inclusive of Hadoop, Spark, or Kafka.
Familiarity with database structures which include relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
Senior Data Engineer Qualifications:
Bachelor’s or master’s degree in PC science, engineering, mathematics, or an associated area
Several years of experience in information engineering or an associated role, ideally in massive-scale, manufacturing surroundings
Strong programming competencies, with proficiency in a single or greater programming language usually used in facts engineering (e.g., Python, Java, Scala)
Experience with massive information technologies which include Hadoop, Spark, and Kafka
Familiarity with cloud structures like AWS, Azure, or Google Cloud, and their respective facts services
Excellent hassle-fixing and analytical capabilities, with a strong attention to element
Effective communication and collaboration skills, with the potential to paintings well in a team environment

Key Responsibilities:

Designing and enforcing facts pipelines to ingest, method, and transform statistics from diverse sources
Building and optimizing data storage answers, consisting of information warehouses, records lakes, and NoSQL databases
Collaborating with information scientists, analysts, and other stakeholders to apprehend their requirements and offer them the vital data infrastructure and tools
Ensuring the safety and compliance of information structures, including implementing get right of entry to controls and encryption mechanisms
Monitoring the overall performance and reliability of records pipelines and infrastructure, and troubleshooting any problems that stand up
Staying updated with the modern-day tendencies in records engineering technologies and exceptional practices, and sharing understanding with the broader group.